Overfitting remains a significant challenge in training neural networks, often leading to poor generalization on unseen data. Dropout has emerged as a powerful regularization technique to mitigate overfitting by randomly deactivating neurons during training, thereby preventing co...
Open access
Research Article10.9734/ajrcos/2025/v18i2569
Early detection of neurodegenerative diseases like Alzheimer’s and Parkinson’s is crucial for improving patient care and enabling timely interventions. Artificial intelligence (AI) offers innovative approaches to analyzing complex medical datasets, revolutionizing the detection o...
Open access
Research Article10.9734/ajrcos/2025/v18i2570
The increasing reliance on Internet-based services has rendered secure and efficient network traffic classification critical. Conventional methods for categorising traffic, such as port and payload methods, often struggle with the challenges posed by encrypted traffic. Deep learn...
Open access
Research Article10.9734/ajrcos/2025/v18i2571
The tutorial analyses how and in what ways the algorithms are used and can be employed in different fields and in the scientific context. This paper revisits the centrality measures; degree, betweenness, closeness and eigenvector centrality and how they are used to study complex...
Open access
Research Article10.9734/ajrcos/2025/v18i2568
Diabetic retinopathy, a condition resulting from prolonged high blood sugar levels that damage the retina, can cause vision impairment and, if untreated, lead to blindness. With advances in medical imaging and the availability of fundus image collections such as Madrid Messidor a...
Open access
Research Article10.9734/ajrcos/2025/v18i2566
The advancement of information technology is rapidly changing the face of cyber security and this makes it more important with the increasing trend of sophistication of cyber threats in the society. The authors in this research aim at analyze how AI and ML can improve cybersecuri...
Open access
Research Article10.9734/ajrcos/2025/v18i2567
Aims: The purpose of this study is to classify invasive ductal carcinoma (IDC) and invasive lobular carcinoma (ILC) of breast cancer using the artificial neural networks recurrent algorithm. the use of artificial neural networks Recurrent algorithms can improve the accuracy of br...
Open access
Research Article10.9734/ajrcos/2025/v18i2563
This study investigates the effectiveness of collaborative digital solutions in addressing cybersecurity governance gaps within the educational sector, focusing on resource constraints, awareness deficits, and regulatory compliance challenges. Data from the National Institute of...
Open access
Research Article10.9734/ajrcos/2025/v18i2564
The significance of image recognition technology is highlighted by its wide applications in fields such as security, medical image analysis, and data analysis. Its growing popularity reflects advancements in research. Traditional machine learning methods have markedly improved fe...
Open access
Research Article10.9734/ajrcos/2025/v18i2565
The article examines the TypeScript type system as a critical element influencing its use in software development. The primary objective of the study is to analyze the characteristics of the type system and identify methods for improving the accuracy of type checking. The article...
Open access
Research Article10.9734/ajrcos/2025/v18i2561